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GitHub / guillermo-navas-palencia / optbinning
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guillermo-navas-palencia%2Foptbinning
Stars: 414
Forks: 96
Open Issues: 24
License: apache-2.0
Language: Python
Repo Size: 10.7 MB
Dependencies:
20
Created: over 4 years ago
Updated: about 1 month ago
Last pushed: about 2 months ago
Last synced: about 1 month ago
Commit Stats
Commits: 752
Authors: 10
Mean commits per author: 75.2
Development Distribution Score: 0.021
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/guillermo-navas-palencia/optbinning
Topics: batch-processing, binning, counterfactual-explanations, credit-scoring, mdlp, optimization, python, scorecard, stream, streaming-data, woe, woebinning
Files
Dependencies
- matplotlib *
- numpy >=1.16.1
- ortools >=7.2
- pandas *
- ropwr >=0.2.0
- scikit-learn >=0.22.0
- scipy >=1.6.0
- matplotlib *
- numpy >=1.16.1
- ortools >=7.2
- pandas *
- ropwr >=0.2.0
- scikit-learn >=0.22.0
- scipy >=1.6.0
- actions/checkout v2 composite
- actions/setup-python v2 composite